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NahomAl/ethiobank_receipts

Domain:

digital infrastructure

Record type:

software
Creator:
Nah
Host:
Fast and reliable Python library to extract and verify payment receipts from major Ethiopian banks (CBE, Dashen, Awash, BOA, Zemen, Telebirr). # 📄 ethiobank-receipts **🔍 Fast and Reliable Receipt Extraction from Ethiopian Banks** Optimized for speed and accuracy, `ethiobank-receipts` enables developers to extract structured data from digital bank receipts across major Ethiopian banks using multithreading and connection pooling. --- ## ⚠️ Disclaimer This is **not an official Python packages**. I am not affiliated with **Ethio Telecom**, **Telebirr**, or any Ethiopian bank (CBE, Dashen, Awash, BOA, Zemen). This package is built purely for **developer utility and research purposes** and works by scraping publicly available receipt data. --- ## ✅ Features - 🏦 **Bank Support** - Commercial Bank of Ethiopia (CBE) - Dashen Bank - Awash Bank - Bank of Abyssinia (BOA) - Zemen Bank - Telebirr (Ethio telecom) - ⚡ **High Performance** - Multithreaded PDF parsing - Optimized HTTP connection pooling (`requests.Session`) - 🧠 **Smart Automation** - Chrome WebDriver caching (for BOA receipts) - 🧪 **Developer Friendly** - Easy CLI interface - Built-in test suite --- ## 📦 Installation ```bash pip install ethiobank-receipts ```` --- ## 📖 Usage (Python) ### Extract from Any Bank by URL ```python from ethiobank_receipts import extract_receipt from pprint import pprint urls = { "cbe": "apps.cbe.com.et", "dashen": "receipt.dashensuperapp.com", "awash": "awashpay.awashbank.com", "boa": "cs.bankofabyssinia.com", "zemen": "share.zemenbank.com", "tele": "CHQ0FJ403O" } for bank, url in urls.items(): print(f"Extracting from {bank}...") try: result = extract_receipt(bank, url) pprint(result) except Exception as e: pprint(f"Failed: {e}") ``` --- ### Extract CBE with FT Number + Account ```python from ethiobank_receipts.extractors.cbe import extract_cbe_receipt_info_from_ft data = extract_cbe_receipt_info_from_ft("FT25211G11JQ", "21827223") print(data) ``` …